DocumentCode :
3773840
Title :
A Study on Risk Diagnosis Algorithm
Author :
Jeong Seok Oh;Ji Hoon Park
Author_Institution :
Inst. of Gas Safety R&
fYear :
2015
Firstpage :
14
Lastpage :
17
Abstract :
Industry complex include various facilities. Pipelines out of facilities are very important because they carry out source materials. Especially, a gas leak of pipeline manages carefully owing to spread other situation such as fire and explosion. Although various researches have been studied in the convergence between computer science and chemical engineering, they need a number of input variables and professional knowledge. These kinds of method are insufficient for progressing quickly to reliable situation. We developed leak location algorithm for the cause of leak on each sector in the virtually set up region.
Keywords :
"Pipelines","Data models","Leak detection","Neural networks","Temperature measurement","Algorithm design and analysis","Predictive models"
Publisher :
ieee
Conference_Titel :
Information Science and Industrial Applications (ISI), 2015 Fourth International Conference on
Print_ISBN :
978-1-4673-9313-3
Type :
conf
DOI :
10.1109/ISI.2015.11
Filename :
7470440
Link To Document :
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